Job description
Golin is looking for a Senior Global AI Data Architect to join our global AI core team and lead the transformation of how we collect, store, and leverage data across our organization. Reporting to our VP, Global AI Technology Lead, you’ll design and implement the data infrastructure that will power our AI-driven future while solving critical challenges around data discoverability, governance, and accessibility.
This is a unique opportunity to shape the future of communications through AI, working directly with local teams to identify real business challenges and convert them into AI-assisted solutions that deliver measurable results. You’ll be at the forefront of our industry’s evolution, helping build the blueprint for what a fully AI-integrated marketing agency looks like.
Why This Role Matters
You’ll be building the data foundation that enables Golin’s transformation into an AI-integrated communications powerhouse. Your work will directly impact:
Operational Efficiency: Establishing standardized data practices and improving discoverability to eliminate time lost searching for project assets and information
AI Enablement: Creating the clean, organized data infrastructure that powers our AI solutions
Competitive Advantage: Building data capabilities that differentiate Golin in the marketplace
Future Innovation: Laying the groundwork for advanced analytics, audience building, and trend analysis
Compliance & Risk: Ensuring data practices meet regulatory requirements and protect client information
About Golin:
Golin is a global, award-winning public relations agency that helps company create change that matters. Together, we discover powerful human truths that bind us, create with bravery, and collaborate inclusively and obsessively. Golin’s 1700 global employees operate across 50+ offices worldwide, allowing us to provide our clients with comprehensive solutions for multi-market, regional and global communications programs.
Every agency is talking about AI. At Golin, we are using AI to rewrite the rules of PR. We’re even promising to become the first fully AI-integrated agency by 2026. We are committed to upskilling our workforce, democratizing access to tools, and integrating AI into our daily work to maximize the value we deliver to our clients.
We’re especially committed to going all in for our people. We challenge our employees to be courageously happy and have empowered them to do so by offering our LifeTime benefits program. LifeTime offers flexible time off, enhanced family care, generous health and wellness benefits, workplace hybrid flexibility, and a monthly LifeTime stipend for the gym or hobbies.
Our expertise ranges from brand-building and cutting-edge digital content to corporate reputation, healthcare advocacy and measurement. Golin aligns earned-first, data-driven creative with the customer journey through our collaborative G4 Model to deliver maximum impact for clients. Our roster includes many of the largestCPG, retail, food, healthcare technology and consumer service companies in the world.
Ready to help us move quickly and carefully to make Golin’s AI implementation a sustainable competitive advantage?
We want to hear from strategic thinkers who are passionate about solving complex data challenges and building scalable solutions. If you’re excited about creating the data infrastructure that will power the future of communications, let’s talk.
What You’ll Do
Data Infrastructure & Architecture
Lead organization-wide transformation of data practices by standardizing processes from collection to governance and implementing scalable architecture solutions that make organizational knowledge easily searchable and accessible across all global offices
Collaborate with account teams to catalog existing data assets and establish data inventories
Implement data lineage tracking and documentation standards across all data assets
Process Optimization & Training
Partner with client teams to understand data pain points and develop training programs to ensure adoption of new data practices
Create automated workflows and establish data quality monitoring with validation procedures, alerting, and remediation
Design comprehensive backup, recovery, and archiving strategies with disaster recovery plans
Platform Evaluation & Integration
Evaluate current technology stack and third-party platforms to identify gaps in data gathering and processing capabilities, particularly focusing on API capabilities and integration readiness
Recommend and implement tools for data discovery, cataloging, and governance
Stay current with emerging data technologies and industry best practices
Future-Focused Development
Coordinate with parent company data teams on shared data initiatives and cross-network analytics projects
Architect and plan data warehouse supporting audience building and social trend analysis
Design ETL pipelines that support both current operations and future analytics needs at scale
Build monitoring and observability systems for data pipeline health, performance, and cost optimization
Implement CI/CD practices for data infrastructure deployment and updates with automated testing
Ensure privacy regulations (GDPR, CCPA) are built into all architecture decisions
Who You Are
Education: Bachelor’s degree in Computer Science, Data Science, Information Systems, or related technical field
Experience: 8+ years in data architecture, engineering, or related roles, with at least 3 years in senior or lead positions, preferably in PR, advertising, digital media, or professional services
Technical Skills:
Data Architecture: Experience designing and implementing data architectures and governance frameworks across multiple organizations or business units
Database Technologies: Expert proficiency with SQL, NoSQL databases, and data warehousing solutions (Snowflake, Redshift, BigQuery)
Cloud Platforms: Hands-on experience with AWS, Azure, or GCP data services and infrastructure, including cost optimization and performance tuning
Programming: Advanced proficiency in Python, SQL, and scripting languages for data processing
Leadership & Communication Skills
Process Transformation: Track record of leading large-scale data transformation projects and standardizing data practices across multiple teams or divisions
Strategic Leadership: Excellence working with executive-level stakeholders to align data strategy with business objectives and drive organizational change
Compliance & Quality
Privacy & Security: Understanding of data privacy regulations (GDPR, CCPA) and security best practices
Data Quality: Experience implementing data validation, monitoring, and quality assurance processes at scale
Preferred Qualifications
Experience in marketing, advertising, or communications industry
Background with social media data and audience analytics platforms
Knowledge of modern data stack tools (Fivetran, Stitch, Looker, Tableau)
Golin has included the base salary range or hourly rate for this role. Actual compensation offered within the range will depend upon, among other factors: a candidate’s skills, qualifications, and experience; actual ranges for current or former employees in the role; and market considerations.
Salary range:
$125,000 - $165,000
Any request to schedule an interview and any legitimate offer of employment will only come from an authorized representative of Golin. We will never require an applicant to provide sensitive personally identifiable information in order to conduct an interview.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.
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